Claude 3 Haiku vs Mistral NeMo Instruct
Claude 3 Haiku and Mistral NeMo Instruct are closely matched at -1.5 and -4.8 on the LLM Stats Score. Mistral NeMo Instruct is 23.0x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude 3 Haiku and Mistral NeMo Instruct are closely matched on the overall LLM Stats Score at -1.5 and -4.8.
In the 2 individual benchmarks reported for both models, Claude 3 Haiku wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 23.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3 Haiku
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 200,000 token context window
Choose Mistral NeMo Instruct
- cost matters — it's about 23.0x cheaper per token
- you want the most recent training data — it shipped Jul 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
10 reported for Claude 3 Haiku · 8 for Mistral NeMo Instruct
Claude 3 Haiku outperforms in 2 benchmarks (HellaSwag, MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.
Claude 3 Haiku significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 13.2x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 41.7x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Mistral NeMo Instruct is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Mistral NeMo Instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Mistral NeMo Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Mistral NeMo Instruct was released on 2024-07-18.
Mistral NeMo Instruct is 4 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Jul 18, 2024
2.2 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
Claude 3 Haiku
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Mistral NeMo Instruct.